Book Description
We often deploy our web applications into the cloud, and our code needs to interact with many third-party services. An efficient way to build applications to do this is through microservices architecture. But, in practice, it's hard to get this right due to the complexity of all the pieces interacting with each other.
This book will teach you how to overcome these issues and craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: you’ll build everything using Python 3 and its amazing tooling ecosystem. You will understand the principles of TDD and apply them.
You will use Flask, Tox, and other tools to build your services using best practices. You will learn how to secure connections between services, and how to script Nginx using Lua to build web application firewall features such as rate limiting. You will also familiarize yourself with Docker’s role in microservices, and use Docker containers, CoreOS, and Amazon Web Services to deploy your services.
This book will take you on a journey, ending with the creation of a complete Python application based on microservices. By the end of the book, you will be well versed with the fundamentals of building, designing, testing, and deploying your Python microservices.
What You Will Learn
- Explore what microservices are and how to design them
- Use Python 3, Flask, Tox, and other tools to build your services using best practices
- Learn how to use a TDD approach
- Discover how to document your microservices
- Configure and package your code in the best way
- Interact with other services
- Secure, monitor, and scale your services
- Deploy your services in Docker containers, CoreOS, and Amazon Web Services
Table of Contents
1: Understanding Microservices
- Origins of Service-Oriented Architecture
- The monolithic approach
- The microservice approach
- Microservice benefits
- Microservices pitfalls
- Implementing microservices with Python
- Summary
2: Discovering Flask
- Which Python?
- How Flask handles requests
- Flask built-in features
- A microservice skeleton
- Summary
3: Coding, Testing, and Documenting - the Virtuous Cycle
- Different kinds of tests
- Using WebTest
- Using pytest and Tox
- Developer documentation
- Continuous Integration
- Summary
4: Designing Runnerly
- The Runnerly application
- Monolithic design
- Splitting the monolith
- Data Service
- Using Open API 2.0
- More splitting
- Summary
5: Interacting with Other Services
- Synchronous calls
- Asynchronous calls
- Testing
- Summary
6: Monitoring Your Services
- Centralizing logs
- Performance metrics
- Summary
7: Securing Your Services
- The OAuth2 protocol
- Token-based authentication
- Web application firewall
- Securing your code
8: Bringing It All Together
- Building a ReactJS dashboard
- ReactJS and Flask
- Authentication and authorization
9: Packaging and Running Runnerly
- The packaging toolchain
- Running all microservices
- Process management
- Summary
10: Containerized Services
- What is Docker?
- Docker 101
- Running Flask in Docker
- The full stack - OpenResty, Circus and Flask
- Docker-based deployments
- Summary
11: Deploying on AWS
- AWS overview
- Routing - Route53, ELB, and AutoScaling
- Execution - EC2 and Lambda
- Storage - EBS, S3, RDS, ElasticCache, and CloudFront
- Deploying on AWS - the basics
- Deploying with ECS
- Route53
- Summary
12: What Next?
- Iterators and generators
- Coroutines
- The asyncio library
- The aiohttp framework
- Sanic
- Asynchronous versus synchronous
